Python Course for Geoscientists

5 Mar 2024, 09:00 → 8 Mar 2024, 17:00 Europe/Berlin

Angelika Heil (DKRZ), Jannek Squar (Uni HH), Karin Meier-Fleischer (DKRZ), Marco Kulüke (DKRZ), Nils-Arne Dreier (DKRZ), Ralf Mueller (DKRZ)

 

Target group: beginner
 

In today's world, there is usually no way around the Python programming language in the geosciences. However, learning Python on your own is associated with many difficulties and leads only to unsatisfactory results, which is why this course was developed especially for beginners.

We only offer a limited number of course seats to ensure there is enough time to help with problems.

This workshop will take place via Zoom videoconference.

In advance, due to high demand, we will not be able to provide everyone registered to attend this course, but the next course will take place in autumn this year ;).

This course is for beginners!

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We're sorry, but the registration is now closed. The course is fully booked.

The next course will take place in autumn this year.

 

DKRZ_Python_Course_Registration_GDPR_March_2024.pdf

material_202403.tar

Tuesday, 5 March

Day 1: Morning sessions

1 Welcome

A short welcome to the participants and speakers.

2 Difference between a supercomputer and a mobile phone

• what is a node, cpu
• historical development
• architecture

3 What is Python – short intro

• difference between programming language and Python
• assembler, compiler, interpreter

4 Jupyter Notebooks

• connecting to Levante with Jupyterhub
• Jupyterlab
• Installation

11:00 Break

5 Introduction to Linux

• terminal
• via WSL
• command line and shell
• editor

12:30 Lunch Break

Day 1: Afternoon sessions

6 Syntax

• case-sensitive
• print
• indentation and code blocks
• line continuation
• comments

7 Data types

• boolean
• integer
• floating-point
• complex
• conversion between types
• None

8 Strings

• formatting
• string functions

9 Lists, tuples, and sets

10 Dictionaries

• creation
• access

15:15 Questions/Answers // End

Wednesday, 6 March

Day 2: Morning sessions

11 Warmup about content of Day 1

12 Copy objects

• shallow
• deep

13 Basic operators and math functions

14 Conditions

15 Loops

• for
• while

10:45 Break

16 List comprehensions

• nested

17 Functions

18 File I/O

• open
• close
• read
• write
• csv reader

12:45 Lunch break

Day 2: Afternoon sessions

19 Exceptions, error handling

• try and except
• logging
• debugging

20 Python in Action (GLOBAGRIM)

15:30 Questions/Answers // End

Thursday, 7 March

Day 3: Morning sessions

21 Warmup about content of Day 2

22 Numpy

10:45 Break

23 Xarray I

• DataArray
• Dataset
• open_dataset / open_mfdataset

12:30 Lunch break

Day 3: Afternoon sessions

24 Visualization I

• Matplotlib

15:30 Questions/Answers // End

Friday, 8 March

Day 4: Morning sessions

25 Warmup about content of Day 3

26 Visualization II

• Cartopy

27 Xarray II

11:15 Break

28 Xarray III

Day 4: Afternoon sessions

29 Feedback

30 Questions and answers

15:00 The End